Research Associate I/II
$78,374,400–$97,113,120 year
On-siteBrisbane, California, United States
Job Summary
Develop and validate clinical-grade assays for measuring complex, blood-based analytes using next-generation sequencing (NGS) to analyze patient samples. Characterize automated assays by generating and analyzing experimental data while gathering high-quality information and communicating lessons learned. Collaborate with molecular research, computational science, and clinical operations teams to troubleshoot experiments, design new studies, and implement process improvements across the lab. Present data to cross-functional teams and contribute to analyzing results to enhance end-to-end test performance. This onsite role reports to the Senior Manager and Staff Research Scientist, requiring hands-on experience in sample preparation, library preparation, and target capture.
Required Qualifications
- Bachelors with 1+ years of relevant industry experience or Masters in molecular biology, or a related field
- Hands-on experience in NGS based assay development including sample preparation, library preparation, target capture, and sequencing
- Biological understanding of human cell-free nucleic acids, single-cell analysis methods, immunology, and/or cancer biology
- High attention to detail and ability to record accurate and detailed observations, assess impact, and perform troubleshooting as required
- Flexible and highly motivated to learn new skills and comfortable adapting to changing priorities
- Ability to manual pipette with high confidence, accuracy, and precision
- Clear and proactive communication skills and ability to collaborate effectively with team members in the same and adjacent disciplines
- Onsite role
Desired Qualifications
- Experience working in a regulated laboratory environment (CLIA, GLP/GCLP, IVD development)
- Experience with automated platforms in plate-based, low-volume formats and/or microfluidics and experience working with automated liquid handlers
- Experience using ELN (electronic lab notebook) and LIMS (lab information management system)
- Familiarity with programing in a scientific programming language (e.g., Python or R)
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